Tendons
2,167 resources related to Tendons
IEEE Organizations related to Tendons
Back to TopConferences related to Tendons
Back to Top2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
This is a general Electrical and Computer Engineering Conference which encompasses all aspects of these fields.
2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)
ROBIO 2012 provides an opportunity for the academic and industrial communities to address new challenges, share solutions, and discuss future directions in research, development and applications in the dynamic and exciting areas of robotics and biomimetics.
2010 36th Annual Northeast Bioengineering Conference
The Northeast Bioengineering Conference is an event designed to foster the formation of new friendships and the exchange of ideas across disciplines related to bioengineering.
2010 International Conference on Mechanic Automation and Control Engineering (MACE)
Manufacturing Control and Automation Engineering,CAD/CAM/CIM and Simulation, Materials Processing and Control, Instruments and Vibration Control
Xplore Articles related to Tendons
Back to TopMulti-channel nerve stimulations using intrafascicular electrodes
K. Yoshida; K. Horch [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990
First Page of the Article 
Control of Joint Motion Simulators for Biomechanical Research
R. Colbaugh; K. Glass 1992 American Control Conference, 1992
This paper presents a hierarchical adaptive algorithm for controlling upper extremity human joint motion simulators. A joint motion simulator is a computer-controlled, electromechanical system which permits the application of forces to the tendons of a human cadaver specimen in such a way that the cadaver joint under study achieves a desired motion in a physiologic manner. The proposed control scheme ...
Asif M. Mughal; Kamran Iqbal 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
Physiological structures exhibit complex characteristics for postural stability and movement. These structures consist of muscles, muscle spindles, Gologi tendon organs and neural activation mechanism etc. In this paper physiological models are studied with bond graph modeling technique, which provides new prospective to study physiological components and combined musculoskeletal system via flow of power. The central nervous controller for muscle activation ...
K. Watanabe; H. Morishita; T. Mori; T. Sato Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics., 2005
The authors propose an exoskeletal robotic hand for assisting the rheumatoid arthritis patients physically. In this paper, we categorized the types of exoskeletal devices into five groups, based on the patients' condition or capability of movement. Then, we constructed a prototype of one of the groups, which amplifies the motion of index-finger PIP joint. Some verification experiments were conducted, in ...
Akihiko Murai; Katsu Yamane; Yoshihiko Nakamura 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
In this paper, we build a whole-body neuromusculoskeletal network model including somatic reflex, and identify its parameters through non-invasive measurements and statistical analysis. Such models are crucial for analyzing and estimating signals in the nervous system. Our neuromuscular model consists of two parts. The first part models the neuromuscular network that represents the relationships between the spinal nerve signals and ...
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Educational Resources on Tendons
Back to TopeLearning
Multi-channel nerve stimulations using intrafascicular electrodes
K. Yoshida; K. Horch [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990
First Page of the Article 
Control of Joint Motion Simulators for Biomechanical Research
R. Colbaugh; K. Glass 1992 American Control Conference, 1992
This paper presents a hierarchical adaptive algorithm for controlling upper extremity human joint motion simulators. A joint motion simulator is a computer-controlled, electromechanical system which permits the application of forces to the tendons of a human cadaver specimen in such a way that the cadaver joint under study achieves a desired motion in a physiologic manner. The proposed control scheme ...
Asif M. Mughal; Kamran Iqbal 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
Physiological structures exhibit complex characteristics for postural stability and movement. These structures consist of muscles, muscle spindles, Gologi tendon organs and neural activation mechanism etc. In this paper physiological models are studied with bond graph modeling technique, which provides new prospective to study physiological components and combined musculoskeletal system via flow of power. The central nervous controller for muscle activation ...
K. Watanabe; H. Morishita; T. Mori; T. Sato Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics., 2005
The authors propose an exoskeletal robotic hand for assisting the rheumatoid arthritis patients physically. In this paper, we categorized the types of exoskeletal devices into five groups, based on the patients' condition or capability of movement. Then, we constructed a prototype of one of the groups, which amplifies the motion of index-finger PIP joint. Some verification experiments were conducted, in ...
Akihiko Murai; Katsu Yamane; Yoshihiko Nakamura 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
In this paper, we build a whole-body neuromusculoskeletal network model including somatic reflex, and identify its parameters through non-invasive measurements and statistical analysis. Such models are crucial for analyzing and estimating signals in the nervous system. Our neuromuscular model consists of two parts. The first part models the neuromuscular network that represents the relationships between the spinal nerve signals and ...
More eLearning Resources
IEEE-USA E-Books
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Biophysics of the Generation of EMG Signals
This chapter describes the basic concepts of generation and detection of EMG signals. Specific emphasis is devoted to the generation of muscle fiber action potentials at the fiber end plates, their propagation along the sarcolemma, and their extinction at the tendons. The chapter addresses the topics of crosstalk between nearby muscles and selectivity of the recording systems. It discusses the relationships between muscle force and the surface EMG. The EMG signal is generated by the electrical activity of the muscle fibers active during a contraction. The signal sources are the depolarizing and repolarizing zones of the muscle fibers. EMG signal features depend on a number of anatomical, physical, and detection system parameters. Considering all the factors related to the volume conductor and the signal sources that influence the characteristics of the EMG signal, a reliable relation between EMG amplitude and force needs a subject specific and condition specific calibration.
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This chapter provides an overview of surface EMG decomposition techniques, along with their basic assumptions, properties, and limitations. Surface electrodes measure the electrical activity of several nearby muscle fibers that are active during a muscle contraction. The electrical activity of each fiber can be described by a single fiber action potential (SFAP) that propagates from the neuromuscular junction towards the tendons. There is large diversity of decomposition techniques that can roughly be categorized either as template matching or latent component analysis (blind source separation) approaches. Decomposition of surface EMG is a powerful tool enabling noninvasive insight not only into muscle control strategies, but also into peripheral muscle properties. It provides unambiguous information on physiological parameters of individual motor units that can easily be interpreted. The identification of motor units (MUs) discharge patterns from surface EMG signals, acquired during dynamic muscle contractions, needs to be addressed.
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The Evolution of Control and Adaptation in a 3D Powered Passive Dynamic Walker
Humans demonstrate speed, efficiency, and adaptability when traveling over rugged terrain. Bipethi robots modeled on biological designs could replace or assist people working in difficult environments. However, current research into humanoid robots has not produced practical machines. This paper explores the use of evolutionary robotics to evolve a simulation of a ten-degree of freedom bipedal robot. This machine demonstrates many of the properties of human locomotion. By using passive dynamics and compliant tendons it conserves energy while walking on a flat surface. Its speed and gait can be dynamically adjusted and it is capable of adapting to discrepancies in both its environment and its bodies' construction.
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CompAct™ Arm: a Compliant Manipulator with Intrinsic Variable Physical Damping
Humans exploit compliance in their biomechanical muscle-tendon-bone actuation structure to enable robust and safe interaction with the environment and utilize the elastic energy stored into muscles and tendons to obtain large energy efficiency or high output mechanical power peaks at their limbs. From the robotic/mechatronic point of view it is clear that emulating such a property in robotic actuation systems enables the achievement of performance which is not possible with classical stiff designs. In contrast to this, transmission compliance introduces some disadvantages as e.g. typically underdamped modes which reduce the achievable control bandwidth, stability margin and accuracy of the controlled system. These limitations are solved in mammalians by means of physical damping which clarifies why these biological systems are able of performing fast and smooth yet accurate motions in their limbs. This motivates this work which consists in the analysis and development of the CompAct™ Arm, a novel compliant manipulator with intrinsic variable damping. This is probably the first robotic system to exhibit these diverse bio inspired characteristics. A motivation analysis is initially presented to show how the drawbacks introduced by compliance can be overcome by means of physical damping. The second part of the paper presents the mechatronic development of the robotic manipulator and preliminary experimental results.